[D] Last Week in Medical AI: Top Research Papers/Models 🏅(September 21 - September 27, 2024)

Last Week in Medical AI: Top Research Papers/Models 🏅(September 21 - September 27, 2024)

Medical AI Paper of the Week
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?

• This paper presents o1, a Large Language Model (LLM) evaluated across 37 medical datasets demonstrating superior performance in clinical understanding, reasoning, and multilinguality compared to GPT-4 and GPT-3.5.

Medical LLM & Other Models:

• DREAMS: Python Framework for Medical LLMs

  • A comprehensive deep learning framework for EEG data processing, model training, and report generation.

• SLaVA-CXR: A Small Language and Vision Assistant for Chest X-Ray Report Automation

  • This paper introduces SLaVA-CXR, an innovative small-scale model designed for automating chest X-ray reports with high accuracy and efficiency.

• O1 in Medicine: AI Doctor Potential

• Genome Language Model : Opportunities & Challenge

  • It highlights key gLM applications like functional constraint prediction, sequence design, and transfer learning, while discussing challenges in developing effective gLMs for complex genomes.

Medical LLMs & Benchmarks:

• MEDICONFUSION: Probing Medical LLM Reliability

  • This paper introduces MediConfusion, a challenging benchmark for probing the failure modes of multimodal large language models (MLLMs) in medical imaging.

• CHBench: Chinese LLM Health Evaluation

  • This paper introduces CHBench, the first comprehensive Chinese health-related benchmark designed to evaluate large language models (LLMs) on their understanding of physical and mental health.

• LLMs for Mental Illness Evaluation

• PALLM: Evaluating Palliative Care LLMs

• Protein LMs: Scaling Necessity?

Frameworks and Methodologies:

• Digital Twin for Oncology Operations
• Enhancing Guardrails for Healthcare AI
• InterMind: LLM-Powered Depression Assessment
• Conversational Health Agents: LLM Framework

Medical LLM Applications:

• LLMs for Mental Health Severity Prediction
• Fine-tuning LLMs for Radiology Reports
• LLMs in Patient Education: Back Pain
• Boosting Healthcare LLMs with Retrieved Context
• Continuous Pretraining for Clinical LLMs

AI in Healthcare Ethics:

• Confidence Intervals in Medical Imaging AI
• Generative AI Readiness for Clinical Use

...

Check the full thread in detail: https://x.com/OpenlifesciAI/status/1840020394880667937

Thank you for reading! If you know of any interesting papers that were missed, feel free to share them in the comments. If you have insights or breakthroughs in Medical AI you'd like to share in next week's edition, connect with us on Twt/x: OpenlifesciAI